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I. Razvan Savin's Projects

attention icon attention

Visualize BERT's attention mechanism with a user-friendly script. Input text with a masked token, predict the masked word, and generate attention diagrams to understand BERT's focus. Ideal for AI enthusiasts and NLP researchers.

crossword icon crossword

A constraint satisfaction problem (CSP) solver for generating and solving crossword puzzles using AI techniques to ensure words fit correctly without conflicts. The solver enforces node and arc consistency and uses backtracking to find valid word placements.

degrees icon degrees

A program that computes the "degrees of separation" between two actors by identifying the sequence of movies connecting them, inspired by the Six Degrees of Kevin Bacon game. Uses IMDb-based datasets for actors, movies, and their relationships.

flexiai icon flexiai

FlexiAI: A dynamic and modular AI framework leveraging Multi-Agent Systems and Retrieval Augmented Generation (RAG) for seamless integration with OpenAI and Azure OpenAI services.

heredity icon heredity

An AI that assesses the likelihood of genetic traits in individuals using a Bayesian Network to analyze family genetic data, modeling genetic inheritance and mutations to infer probabilities of gene presence and trait expression.

image_similarity icon image_similarity

Compare image similarity using features extracted from the pre-trained VGG16 model. This project leverages cosine similarity for accurate visual similarity assessment, making it ideal for image retrieval and duplicate detection.

knights icon knights

A Python program that solves Knights and Knaves logic puzzles using propositional logic and model-checking algorithms. Determine the truthfulness of characters based on their statements to solve these classic logic puzzles.

minesweeper icon minesweeper

An AI for playing Minesweeper, utilizing propositional logic and knowledge-based inference to identify safe cells and mines. The AI learns from the game's state to make informed decisions.

nim icon nim

Develop an AI using Q-learning to master Nim. The AI learns optimal strategies by playing games against itself. Challenge the trained AI or watch two AI agents compete.

pagerank icon pagerank

This project implements the PageRank algorithm to rank web pages by importance using two approaches: a sampling method with the Markov Chain random surfer model and an iterative method with a recursive mathematical expression.

parser icon parser

The Parser project focuses on implementing a context-free grammar (CFG) parser to analyze English sentences and extract noun phrases. The goal is to build a tool that can interpret sentence structures and provide insights into their grammatical components

questions icon questions

The "Questions" project, part of Harvard's CS50 AI course, develops an AI system for answering questions by retrieving documents and passages from a text corpus using tf-idf. It aids in understanding natural language processing (NLP) and information retrieval techniques.

shopping icon shopping

Building a nearest-neighbor classifier to predict online shopping purchase completions based on user browsing behavior. The project uses a dataset of 12,000 sessions, analyzing features like pages visited, session duration, and bounce rates

tictactoe icon tictactoe

An AI that plays Tic-Tac-Toe using the Minimax algorithm, ensuring it always wins or draws. Demonstrates optimal decision-making and game logic implementation.

traffic icon traffic

This project aims to develop a neural network using TensorFlow to classify traffic signs from images, utilizing the German Traffic Sign Recognition Benchmark (GTSRB) dataset.

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